Fig. 2. Increased ILC2 population in SFR deficient mice.

(A) Intersection analysis was conducted on three gene sets associated with negative regulation of immune response (GeneOntology database, GO0050777), transmembrane proteins (UniProt database, KW-0812), and signaling (UniProt database, KW-0732) (left). Their expression on ILC2s was then analyzed using the RNA sequencing (RNA-seq) dataset from the Gene Expression Omnibus (GEO) database (GSE117470), with cytokine receptor–related genes excluded (middle). The highly expressed genes on ILC2s in the middle panel were selected, and their ligand expression on adaptive immune cells was analyzed using the RNA-seq dataset from the GEO database (GSE184841, right). (B) Representative overlaid histograms showing the expression level of SFRs on ILC2s in the BM, MLN, SI, LI, lung, and EWAT from WT (blue) and SFR^−/− (gray) mice. (C to H) Proportion and number of ILC2s in the BM (C), MLN (D), SI (E), LI (F), lungs (G), and EWAT (H) of WT and SFR^−/−mice. n = 3 to 9 mice per group. (I) Number of DsRed⁺CD45.1⁻CD45.2⁺ ILC2s in the indicated organs from the mice (as illustrated in fig. S2C). n = 5 mice per group. The data [(B) to (I)] are representative of at least three independent experiments. All data are presented as means ± SEM. Statistical analysis was performed using an unpaired Student’s t test [(C) to (I)]. *P < 0.05, **P < 0.01. n.s. indicates not significant.